Quant Deepseekmath is an open-source language model by Pra-tham. Features: 4b LLM, VRAM: 4.8GB, Context: 4K, LLM Explorer Score: 0.15.
Arxiv:1910.09700 4-bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Pra-tham/quant_deepseekmath
Quant Deepseekmath Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Quant Deepseekmath Parameters and Internals
| LLM Name | Quant Deepseekmath |
| Repository 🤗 | https://huggingface.co/Pra-tham/quant_deepseekmath |
| Model Size | 4b |
| Required VRAM | 4.8 GB |
| Updated | 2025-09-23 |
| Maintainer | Pra-tham |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 102400 |
| Torch Data Type | bfloat16 |
Best Alternatives to Quant Deepseekmath
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 4Bcpt | 256K / 8.8 GB | 5 | 0 |
| HoldMy4BKTO | 256K / 8.8 GB | 5 | 0 |
| Xgen Small 4B Instruct R | 256K / 17.7 GB | 18 | 3 |
| Xgen Small 4B Base R | 256K / 17.7 GB | 20 | 2 |
| SJT 4B | 146K / 7.6 GB | 5 | 0 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 46848 | 109 |
| Impish LLAMA 4B | 128K / 9 GB | 1133 | 42 |
| Nemotron W 4b MagLight 0.1 | 128K / 9.2 GB | 13 | 3 |
| Loxa 4B | 128K / 16 GB | 20 | 0 |
| Nemotron W 4b Halo 0.1 | 128K / 9.2 GB | 3 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than Pra-tham/quant_deepseekmath .
Rank the Quant Deepseekmath Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b